Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables

观察研究 可穿戴计算机 痴呆 人工智能 机器学习 召回 计算机科学 分类器(UML) 医学 物理医学与康复 心理学 嵌入式系统 内科学 疾病 认知心理学
作者
Mehdi Snene,Christophe Graf,Petra Vayne-Bossert,Sophie Pautex
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:24 (19): 6298-6298
标识
DOI:10.3390/s24196298
摘要

Background: Recent studies on machine learning have shown the potential to provide new methods with which to assess pain through the measurement of signals associated with physiologic responses to pain detected by wearables. We conducted a prospective pilot study to evaluate the real-world feasibility of using an AI-enabled wearable system for pain assessment with elderly patients with dementia and impaired communication. Methods: Sensor data were collected from the wearables, as well as observational data-based conventional everyday interventions. We measured the adherence, completeness, and quality of the collected data. Thereafter, we evaluated the most appropriate classification model for assessing the detectability and predictability of pain. Results: A total of 18 patients completed the trial period, and 10 of them had complete sensor and observational datasets. We extracted 206 matched records containing a 180 min long data segment from the sensor’s dataset. The final dataset comprised 153 subsets labelled as moderate pain and 53 labelled as severe pain. After noise reduction, we compared the recall and precision performances of 14 common classification algorithms. The light gradient-boosting machine (LGBM) classifier presented optimal values for both performances. Conclusions: Our findings tended to show that electrodermal activity (EDA), skin temperature, and mobility data are the most appropriate for pain detection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
宛宛完成签到,获得积分10
1秒前
1秒前
香蕉觅云应助monoklatt采纳,获得10
2秒前
可爱的函函应助牧觅云采纳,获得10
3秒前
3秒前
张铭完成签到 ,获得积分10
3秒前
田様应助偷喝汽水采纳,获得10
4秒前
5秒前
桥桥发布了新的文献求助10
5秒前
pw发布了新的文献求助100
6秒前
吃吃发布了新的文献求助10
6秒前
风息发布了新的文献求助10
6秒前
Lynette完成签到,获得积分0
7秒前
Chen完成签到 ,获得积分10
7秒前
朴素的冰颜完成签到,获得积分10
8秒前
磊2024完成签到,获得积分10
9秒前
10秒前
10秒前
小李叭叭完成签到,获得积分10
12秒前
温柔晓刚完成签到,获得积分10
12秒前
yx_cheng应助liuzhen采纳,获得10
12秒前
光影发布了新的文献求助10
13秒前
14秒前
善学以致用应助sje采纳,获得10
15秒前
科目三应助小李叭叭采纳,获得10
15秒前
FLZLC发布了新的文献求助10
18秒前
研友_84mlkL完成签到,获得积分10
20秒前
20秒前
退而求其次完成签到,获得积分10
21秒前
阿胡发布了新的文献求助30
21秒前
22秒前
害羞书易完成签到,获得积分20
22秒前
思源应助牧觅云采纳,获得10
22秒前
烟花应助qq采纳,获得10
25秒前
monoklatt发布了新的文献求助10
25秒前
26秒前
26秒前
研友_84mlkL发布了新的文献求助10
26秒前
28秒前
文献达人发布了新的文献求助10
29秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Toward a Combinatorial Approach for the Prediction of IgG Half-Life and Clearance 500
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969940
求助须知:如何正确求助?哪些是违规求助? 3514642
关于积分的说明 11175298
捐赠科研通 3249947
什么是DOI,文献DOI怎么找? 1795178
邀请新用户注册赠送积分活动 875617
科研通“疑难数据库(出版商)”最低求助积分说明 804891